Objective To explore the difference of detection accuracy and benign and malignant judgment ability of multiple different artificial intelligence(AI)assisted diagnosis systems for pulmonary nodules.Methods The chest CT images of 174 patients who underwent pulmonary nodule resection in the Third Affiliated Hospital of Sun Yat-sen University Lingnan Hospital from July 2023 to March 2024 were selected.The thin-layer lung algorithm image data was transmitted to the UNITED IMAGING AI,Shen Rui AI and Shu Kun AI auxiliary diagnosis system.The postoperative pathological examination results were used as the gold standard to compare the diagnostic efficacy of the three AI-assisted diagnosis and treatment systems for pulmonary nodules.Results There was no significant difference in the diagnostic accuracy of benign and malignant pulmonary nodules between different AI-assisted diagnostic systems(P>0.05).There were significant differences in the sensitivity,specificity and positive predictive value of malignant pulmonary nodules(P<0.05).Conclusion AI-assisted diagnostic system shows high sensitivity in the detection of early lung cancer,which can help radiologists to identify benign and malignant pulmonary nodules more efficiently and improve the diagnostic accuracy to a certain extent.However,the accuracy of different AI-assisted diagnostic systems for the diagnosis of benign and malignant pulmonary nodules is still quite different,and it is necessary to be cautious when applying the reference results.
Artificial intelligencePulmonary nodulesEarly lung cancer
NETL
NSTL
万方数据
